Brown Superfund Research Program Digital Archive Integrating the

Brown Superfund Research Program Digital Archive Integrating the Library and Institutional Repository into the Data Core to Support Data Management, Sharing, and Reuse Andrew Creamer, Joseph Rhoads, Dr. Robert H. Hurt https: //doi. org/10. 26300/a 4 w 7 -8860 Brown University Superfund Research Program is funded by the National Institute of Environmental Health Sciences (NIEHS) Superfund Program of the National Institutes of Health under award P 42 ES 013660

“Big data from small data: data-sharing in the 'long tail'” Ferguson AR, Nielson JL, Cragin MH, Bandrowski AE, Martone ME. Big data from small data: data-sharing in the 'long tail' of neuroscience. Nat Neurosci. 2014; 17(11): 1442– 1447. doi: 10. 1038/nn. 3838

NIEHS 2018 -2023 Strategic Plan “Development of innovative data science and data-driven approaches, including data sharing platforms, integration, and analytics, is integral to EHS specifically, and health initiatives generally. The broad use of big data frameworks and FAIR (findable, accessible, interoperable, and reusable) principles facilitate this development. Continued emphasis on partnerships within and outside NIH will help EHS capitalize on new discoveries and approaches. ”

Institutional Repositories ". . . a university-based institutional repository is a set of services that a university offers to the members of its community for the management and dissemination of digital materials created by the institution and its community members. It is most essentially an organizational commitment to the stewardship of these digital materials, including long-term preservation where appropriate, as well as organization and access or distribution. " Clifford Lynch, Executive Director, Coalition for Networked Information (CNI) From ARL: A Bimonthly Report, no. 226 (February 2003) Institutional Repositories: Essential Infrastructure for Scholarship in the Digital Age http: //old. arl. org/resources/pubs/br/br 226 ir~print. shtml

FAIR Principles Wilkinson, M. D. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3 doi: 10. 1038/sdata. 2016. 18 (2016). Image © St. Lawrence Global Observatory https: //ogsl. ca/en/fair-principles

Future development ❏ Meta-tags for Google Scholar and Google Dataset Search (beta) ❏ ORCi. D author identifiers ❏ Preservation of electronic laboratory notebooks ❏ Integration with Globus Online for transfer of data >5 GB

“Informationists” at a Library near you. . .

Thank You Marjorie Bilderback, Communications Coordinator & Center Administrator Brown University Superfund Research Program (SRP) Ben Cail, Brown University Library National Institute of Environmental Health Sciences Superfund Program and National Institutes of Health and National Library of Medicine Northeast Superfund Research Program Meeting Organizers Northeastern University